Some settings

Mexico

CENARPRECE

Missing location

Merge and filter those without lat and lon, then search with osm.

## # A tibble: 114 × 5
##    ent      med                                     mun   loc       n
##    <chr>    <chr>                                   <chr> <chr> <int>
##  1 campeche c.s jóse ma. morelos y pavón o cibalito <NA>  <NA>      2
##  2 campeche caravana médico dental p-43             <NA>  <NA>      1
##  3 campeche chan laguna p-31                        <NA>  <NA>      1
##  4 campeche manuel crecencio rejon p-32             <NA>  <NA>      2
##  5 campeche médico dental p-43                      <NA>  <NA>      1
##  6 campeche médico dental p-50                      <NA>  <NA>      2
##  7 campeche santa rosa p-30                         <NA>  <NA>      2
##  8 campeche tomás aznar barbachano p-28             <NA>  <NA>      2
##  9 campeche unidad médica móvil p-32                <NA>  <NA>      1
## 10 campeche valentin gomez farias p-31              <NA>  <NA>      1
## # … with 104 more rows

Fixed location

ENT and MED are matched but not LOC

  • just picked one of them now, obs. can be a wrong LOC!
  • some is not in the three states

SINAVE pdfs

Mordedura read

Seems something is wrong with 2022 report?

Map

INEGI

There are 0 obs. with missing lon or lat.

h3 - correlation on hexagon grid of 36km2

## # A tibble: 2 × 2
##       n    nn
##   <int> <int>
## 1     1 25797
## 2     2  2762

Only animal and pep are on fine-scale

Some boxes

Zero-inflated model

## [1] 1612

OK, if get all these filled for all hexagons maybe we can predict a little.

Test k-ring smooth of covariates